Image-Text-to-Text
MLX
Safetensors
mistral3
jangtq
mxtq
jang
apple-silicon
ministral3
pixtral
vision
multimodal
quantized
conversational
Instructions to use OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ") config = load_config("OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Pi new
How to use OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default OsaurusAI/Mistral-Medium-3.5-128B-JANGTQ
Run Hermes
hermes
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 262144, | |
| "pad_token_id": 11, | |
| "transformers_version": "5.6.0.dev0" | |
| } | |